AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! WHAT YOU WILL DO - Architect & Roadmap: Lead design sessions and produce detailed AI system blueprints, from data ingestion to inference services; - Agentic Pipelines: Specify and oversee construction of end-to-end LLM/ML pipelines for structured and unstructured energy data; - RAG & Vector Search: Define strategies for retrieval-augmented generation, vector databases, and knowledge graphs to power contract intelligence; - Model Development: Guide teams building models for contract auditing, price forecasting, and portfolio optimization; - ML Pipeline to Full-Stack Deploy: Design and oversee the end-to-end deployment of machine learning and AI pipelines into production, covering service hosting, containerization, and cloud infrastructure; - Standards & Best Practices: Establish coding standards, testing frameworks, and review processes for AI/ML workflows; - Mentorship & Leadership: Coach engineers in applied AI, review design docs, and present architecture reviews to stakeholders, including C-suite. MUST HAVES - 8+ years of professional software development, with 5+ years in production ML/AI systems ; Proven track record as an AI Architect or technical lead, able to envision complex systems and drive them to production; - Demonstrated experience in AI research & development ; - Publishing, prototyping novel approaches, or leading R&D projects; - Proven experience building with LLMs (locally hosted and API-based), plus hands-on RAG/vector search experience; - Fluent in designing microservices and REST APIs for AI inference at scale; - Strong systems-level thinking and product mindset, able to balance research and engineering trade-offs; - Experience with cloud-native platforms (AWS, GCP, Azure), Docker , and Kubernetes ; - Excellent verbal and written communication; - Сomfortable presenting to executive audiences; - Upper-Intermediate English level. NICE TO HAVES - Early-stage startup experience, especially shaping nascent AI products; - Domain experience in energy, sustainability, or industrial infrastructure; - Thought-leadership in AI/ML: open-source contributions, publications, or conference talks; - Commitment to ethical, socially responsible AI. THE BENEFITS OF JOINING US - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. - A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process.